Cargando…

A Human Activity Recognition System Using Skeleton Data from RGBD Sensors

The aim of Active and Assisted Living is to develop tools to promote the ageing in place of elderly people, and human activity recognition algorithms can help to monitor aged people in home environments. Different types of sensors can be used to address this task and the RGBD sensors, especially the...

Descripción completa

Detalles Bibliográficos
Autores principales:	Cippitelli, Enea, Gasparrini, Samuele, Gambi, Ennio, Spinsante, Susanna
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2016
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4812221/ https://www.ncbi.nlm.nih.gov/pubmed/27069469 http://dx.doi.org/10.1155/2016/4351435

Ejemplares similares

A Depth-Based Fall Detection System Using a Kinect(®) Sensor
por: Gasparrini, Samuele, et al.
Publicado: (2014)

Kinect as a Tool for Gait Analysis: Validation of a Real-Time Joint Extraction Algorithm Working in Side View
por: Cippitelli, Enea, et al.
Publicado: (2015)

Heart Rate Detection Using Microsoft Kinect: Validation and Comparison to Wearable Devices
por: Gambi, Ennio, et al.
Publicado: (2017)

Remote health monitoring for elderly through interactive television
por: Spinsante, Susanna, et al.
Publicado: (2012)

Accurate Fall Detection in a Top View Privacy Preserving Configuration
por: Ricciuti, Manola, et al.
Publicado: (2018)

Technological Approaches to Remote Monitoring of Elderly People in Cardiology: A Usability Perspective
por: Spinsante, Susanna, et al.
Publicado: (2012)

Multiview Layer Fusion Model for Action Recognition Using RGBD Images
por: Chalearnnetkul, Pongsagorn, et al.
Publicado: (2018)

Analysis and Tools for Improved Management of Connectionless and Connection-Oriented BLE Devices Coexistence
por: Del Campo, Antonio, et al.
Publicado: (2017)

Deep Attention Models for Human Tracking Using RGBD
por: Rasoulidanesh, Maryamsadat, et al.
Publicado: (2019)

Dynamic Reconfiguration of a RGBD Sensor Based on QoS and QoC Requirements in Distributed Systems
por: Munera, Eduardo, et al.
Publicado: (2015)

Iterative Pose Refinement for Object Pose Estimation Based on RGBD Data
por: Huang, Shao-Kang, et al.
Publicado: (2020)

RGBD-Inertial Trajectory Estimation and Mapping for Ground Robots
por: Shan, Zeyong, et al.
Publicado: (2019)

A Human Activity Recognition System Based on Dynamic Clustering of Skeleton Data
por: Manzi, Alessandro, et al.
Publicado: (2017)

A RGBD-Based Interactive System for Gaming-Driven Rehabilitation of Upper Limbs †
por: Fuertes Muñoz, Gabriel, et al.
Publicado: (2019)

3D real-time human reconstruction with a single RGBD camera
por: Lu, Yang, et al.
Publicado: (2022)

A Probabilistic Model for Real-Time Semantic Prediction of Human Motion Intentions from RGBD-Data
por: Houtman, Wouter, et al.
Publicado: (2021)

RGBD Salient Object Detection, Based on Specific Object Imaging
por: Liao, Xiaolian, et al.
Publicado: (2022)

A Range-Independent Disparity-Based Calibration Model for Structured Light Pattern-Based RGBD Sensor
por: Li, Wenbin, et al.
Publicado: (2020)

Human Activity Recognition by Sequences of Skeleton Features
por: Ramirez, Heilym, et al.
Publicado: (2022)

Application of an RGBD augmented C-arm for minimally invasive scoliosis surgery assistance
por: Habert, Séverine, et al.
Publicado: (2017)

AFI-Net: Attention-Guided Feature Integration Network for RGBD Saliency Detection
por: Li, Liming, et al.
Publicado: (2021)

A Smart Sensor-Based Measurement System for Advanced Bee Hive Monitoring †
por: Cecchi, Stefania, et al.
Publicado: (2020)

BERT for Activity Recognition Using Sequences of Skeleton Features and Data Augmentation with GAN
por: Ramirez, Heilym, et al.
Publicado: (2023)

Deep Learning for Human Activity Recognition on 3D Human Skeleton: Survey and Comparative Study
por: Nguyen, Hung-Cuong, et al.
Publicado: (2023)

Nonrigid reconstruction of 3D breast surfaces with a low-cost RGBD camera for surgical planning and aesthetic evaluation
por: Lacher, R.M., et al.
Publicado: (2019)

Approach for the Development of a Framework for the Identification of Activities of Daily Living Using Sensors in Mobile Devices
por: Pires, Ivan Miguel, et al.
Publicado: (2018)

GBDT-Based Fall Detection with Comprehensive Data from Posture Sensor and Human Skeleton Extraction
por: Cai, Wen-Yu, et al.
Publicado: (2020)

Markerless 3D Skeleton Tracking Algorithm by Merging Multiple Inaccurate Skeleton Data from Multiple RGB-D Sensors
por: Lee, Sang-hyub, et al.
Publicado: (2022)

Acceptance and Preferences of Using Ambient Sensor-Based Lifelogging Technologies in Home Environments
por: Offermann, Julia, et al.
Publicado: (2021)

The Human Skeleton
por: Yarrington, Greg
Publicado: (1986)

Multi-Sensor Data Fusion and CNN-LSTM Model for Human Activity Recognition System
por: Zhou, Haiyang, et al.
Publicado: (2023)

Skeleton Graph-Neural-Network-Based Human Action Recognition: A Survey
por: Feng, Miao, et al.
Publicado: (2022)

Dynamic Edge Convolutional Neural Network for Skeleton-Based Human Action Recognition
por: Tasnim, Nusrat, et al.
Publicado: (2023)

Analyzing technology acceptance and perception of privacy in ambient assisted living for using sensor-based technologies
por: Wilkowska, Wiktoria, et al.
Publicado: (2022)

Optimizing Sensor Position with Virtual Sensors in Human Activity Recognition System Design
por: Xia, Chengshuo, et al.
Publicado: (2021)

Skeleton-Based Human Pose Recognition Using Channel State Information: A Survey
por: Wang, Zhengjie, et al.
Publicado: (2022)

Research Method of Discontinuous-Gait Image Recognition Based on Human Skeleton Keypoint Extraction
por: Han, Kun, et al.
Publicado: (2023)

The Anatomy of the Human Skeleton
Publicado: (1940)

Shallow Graph Convolutional Network for Skeleton-Based Action Recognition
por: Yang, Wenjie, et al.
Publicado: (2021)

An efficient self-attention network for skeleton-based action recognition
por: Qin, Xiaofei, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_76o8irnbm6o06eiqpuegre8jjp